- Difficulty: Hard
- Tags: LeetCode, Hard, Design, Binary Indexed Tree, Segment Tree, Array, Binary Search, leetcode-1157, Math, O(n), Boyer–Moore Majority Vote Algorithm
Problem
Design a data structure that efficiently finds the majority element of a given subarray.
The majority element of a subarray is an element that occurs threshold
times or more in the subarray.
Implementing the MajorityChecker
class:
MajorityChecker(int[] arr)
Initializes the instance of the class with the given arrayarr
.int query(int left, int right, int threshold)
returns the element in the subarrayarr[left...right]
that occurs at leastthreshold
times, or-1
if no such element exists.
Example 1:
Input ["MajorityChecker", "query", "query", "query"] [[[1, 1, 2, 2, 1, 1]], [0, 5, 4], [0, 3, 3], [2, 3, 2]] Output [null, 1, -1, 2] Explanation MajorityChecker majorityChecker = new MajorityChecker([1, 1, 2, 2, 1, 1]); majorityChecker.query(0, 5, 4); // return 1 majorityChecker.query(0, 3, 3); // return -1 majorityChecker.query(2, 3, 2); // return 2
Constraints:
1 <= arr.length <= 2 * 104
1 <= arr[i] <= 2 * 104
0 <= left <= right < arr.length
threshold <= right - left + 1
2 * threshold > right - left + 1
- At most
104
calls will be made toquery
.